AMR Country Hotspots

##  Family: zero_inflated_poisson 
##   Links: mu = log; zi = logit 
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_promed_mentions_per_capita + ln_gdp_per_capita + offset(ln_population) 
##          zi ~ ln_promed_mentions_per_capita + ln_gdp_per_capita + ln_population + english_spoken
##    Data: data[[i]] (Number of observations: 198) 
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
##          total post-warmup samples = 120000
## 
## Population-Level Effects: 
##                                        Estimate Est.Error l-95% CI
## Intercept                                -15.59      1.29   -18.34
## zi_Intercept                              30.26      5.09    20.98
## ln_livestock_consumption_kg_per_capita    -0.40      0.14    -0.59
## ln_migrant_pop_perc                        0.26      0.07     0.12
## ln_tourism_inbound_perc                    0.09      0.13    -0.13
## ln_tourism_outbound_perc                   0.05      0.19    -0.31
## ab_export_perc                             5.12      1.35     2.34
## health_expend_perc                         0.04      0.02    -0.02
## human_consumption_ddd                      0.10      0.02     0.06
## english_spoken                            -0.57      0.21    -0.97
## ln_promed_mentions_per_capita              0.25      0.12     0.03
## ln_gdp_per_capita                         -0.02      0.10    -0.23
## zi_ln_promed_mentions_per_capita           0.11      0.34    -0.54
## zi_ln_gdp_per_capita                      -1.34      0.24    -1.84
## zi_ln_population                          -1.04      0.23    -1.51
## zi_english_spoken                         -1.37      0.65    -2.70
##                                        u-95% CI Eff.Sample Rhat
## Intercept                                -13.06         79 2.05
## zi_Intercept                              40.91       2598 1.02
## ln_livestock_consumption_kg_per_capita    -0.06         64 3.92
## ln_migrant_pop_perc                        0.39         70 2.61
## ln_tourism_inbound_perc                    0.44         65 3.69
## ln_tourism_outbound_perc                   0.47         64 3.86
## ab_export_perc                             7.48         92 1.70
## health_expend_perc                         0.08         83 1.90
## human_consumption_ddd                      0.13         77 2.15
## english_spoken                            -0.07         68 2.95
## ln_promed_mentions_per_capita              0.49         69 2.75
## ln_gdp_per_capita                          0.18         74 2.34
## zi_ln_promed_mentions_per_capita           0.80       2867 1.01
## zi_ln_gdp_per_capita                      -0.91      12886 1.01
## zi_ln_population                          -0.61       1644 1.02
## zi_english_spoken                         -0.16        838 1.04
## 
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample 
## is a crude measure of effective sample size, and Rhat is the potential 
## scale reduction factor on split chains (at convergence, Rhat = 1).

## [1] TRUE